docs(fix): fixed warnings from griffe (#3381)

# Description

Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.

## Checklist before requesting a review

Please delete options that are not relevant.

- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged

## Screenshots (if appropriate):

.gitignore

@@ -103,3 +103,4 @@ backend/core/examples/chatbot/.chainlit/translations/en-US.json
 .tox
 Pipfile
 *.pkl
+backend/docs/site/*

backend/core/quivr_core/base_config.py

@@ -2,6 +2,7 @@
 
 import yaml
 from pydantic import BaseModel, ConfigDict
+from typing import Self
 
 
 class QuivrBaseConfig(BaseModel):
@@ -23,7 +24,7 @@ class QuivrBaseConfig(BaseModel):
     model_config = ConfigDict(extra="forbid")
 
     @classmethod
-    def from_yaml(cls, file_path: str | Path):
+    def from_yaml(cls, file_path: str | Path) -> Self:
         """
         Create an instance of the class from a YAML file.
 

backend/core/quivr_core/brain/brain.py

@@ -217,7 +217,7 @@ def load(cls, folder_path: str | Path) -> Self:
             vector_db=vector_db,
         )
 
-    async def save(self, folder_path: str | Path):
+    async def save(self, folder_path: str | Path) -> str:
         """
         Save the brain to a folder path.
 
@@ -324,7 +324,7 @@ async def afrom_files(
         embedder: Embeddings | None = None,
         skip_file_error: bool = False,
         processor_kwargs: dict[str, Any] | None = None,
-    ):
+    ) -> Self:
         """
         Create a brain from a list of file paths.
 

backend/core/quivr_core/chat.py

@@ -30,7 +30,7 @@ def __init__(self, chat_id: UUID, brain_id: UUID | None) -> None:
         # TODO(@aminediro): maybe use a deque() instead ?
         self._msgs: list[ChatMessage] = []
 
-    def get_chat_history(self, newest_first: bool = False):
+    def get_chat_history(self, newest_first: bool = False) -> List[ChatMessage]:
         """
         Retrieves the chat history, optionally sorted in reverse chronological order.
 

backend/core/quivr_core/config.py

@@ -255,8 +255,6 @@ def __init__(self, **data):
         This method sets up the initial configuration, including setting the LLM model
         config and API key.
 
-        Args:
-            **data: Keyword arguments for initializing the config.
         """
         super().__init__(**data)
         self.set_llm_model_config()
@@ -369,9 +367,6 @@ class RerankerConfig(QuivrBaseConfig):
     def __init__(self, **data):
         """
         Initialize the RerankerConfig.
-
-        Args:
-            **data: Keyword arguments for initializing the config.
         """
         super().__init__(**data)
         self.validate_model()

backend/docs/pyproject.toml

@@ -31,6 +31,7 @@ venv_sync= "uv pip sync --python ./.venv/bin/python ./requirements.lock"
 venv_create_sync = {chain = ["venv_create", "venv_sync"]}
 check_deps = "basedpyright --project ./pyproject.toml"
 docs = "mkdocs serve"
+build_docs = "mkdocs build --strict"
 
 [tool.basedpyright]
 include = ["src/"]